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Learning in Nonzero-Sum Stochastic Games with Potentials

16 March 2021

Jun Wang

Papers citing "Learning in Nonzero-Sum Stochastic Games with Potentials"

26 / 26 papers shown

Title
Vairiational Stochastic Games Zhiyu Zhao Haifeng Zhang 92 0 0 08 Mar 2025
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review Hafez Ghaemi Shirin Jamshidi Mohammad Mashreghi M. N. Ahmadabadi Hamed Kebriaei 106 1 0 10 Jun 2024
Beyond Theorems: A Counterexample to Potential Markov Game Criteria Fatemeh Fardno S. Zahedi 88 0 0 13 May 2024
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games Hafez Ghaemi Hamed Kebriaei Alireza Ramezani Moghaddam Majid Nili Ahamadabadi 80 1 0 08 Feb 2024
Scalable and Independent Learning of Nash Equilibrium Policies in $n$ -Player Stochastic Games with Unknown Independent Chains Tiancheng Qin S. Rasoul Etesami 99 2 0 04 Dec 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games Youbang Sun Tao-Wen Liu Ruida Zhou P. R. Kumar Shahin Shahrampour 77 13 0 15 Oct 2023
Reinforcement Learning With Reward Machines in Stochastic Games Jueming Hu Jean-Raphael Gaglione Yanze Wang Zhe Xu Ufuk Topcu Yongming Liu 61 1 0 27 May 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 84 47 0 19 Apr 2023
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction Taher Jafferjee Juliusz Ziomek Tianpei Yang Zipeng Dai Jianhong Wang Matthew E. Taylor Kun Shao Jun Wang D. Mguni 64 1 0 02 Sep 2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games Stephen Marcus McAleer JB Lanier Kevin A. Wang Pierre Baldi Roy Fox Tuomas Sandholm 75 18 0 13 Jul 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen Marcus McAleer Gabriele Farina Marc Lanctot Tuomas Sandholm 174 26 0 08 Jun 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game Zhiyuan Yao Zihan Ding OffRL 83 2 0 03 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL Siyi Hu Chuanlong Xie Xiaodan Liang Xiaojun Chang 56 22 0 01 Jun 2022
On the Convergence of Fictitious Play: A Decomposition Approach Yurong Chen Xiaotie Deng Chenchen Li D. Mguni Jun Wang Xiang Yan Yaodong Yang 97 4 0 03 May 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence Dongsheng Ding Chen-Yu Wei Kai Zhang M. Jovanović 88 69 0 08 Feb 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games Runyu Zhang Jincheng Mei Bo Dai Dale Schuurmans Na Li 62 21 0 02 Feb 2022
Learning Stationary Nash Equilibrium Policies in $n$ -Player Stochastic Games with Independent Chains S. Rasoul Etesami 121 6 0 28 Jan 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 98 43 0 06 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 114 19 0 05 Dec 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 90 49 0 20 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kai Zhang Tamer Bacsar 99 57 0 12 Oct 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 125 247 0 23 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 79 67 0 19 Aug 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 85 123 0 03 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Tongzheng Ren Na Li 105 44 0 01 Jun 2021
Learning to Shape Rewards using a Game of Two Partners D. Mguni Taher Jafferjee Jianhong Wang Nicolas Perez Nieves Tianpei Yang ... Feifei Tong Hui Chen Jiangcheng Zhu Jun Wang Yaodong Yang 98 11 0 16 Mar 2021